dc.creatorHayashi, SHD
dc.creatorLigero, EL
dc.creatorSchiozer, DJ
dc.date2010
dc.dateDEC
dc.date2014-11-19T20:45:33Z
dc.date2015-11-26T18:06:18Z
dc.date2014-11-19T20:45:33Z
dc.date2015-11-26T18:06:18Z
dc.date.accessioned2018-03-29T00:48:30Z
dc.date.available2018-03-29T00:48:30Z
dc.identifierJournal Of Petroleum Science And Engineering. Elsevier Science Bv, v. 75, n. 41671, n. 105, n. 113, 2010.
dc.identifier0920-4105
dc.identifierWOS:000286846200013
dc.identifier10.1016/j.petrol.2010.10.013
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/71140
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/71140
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/71140
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1293325
dc.descriptionRisk is always associated to Exploration & Production projects, mainly due to the geological, economic and technological uncertainties. In the development phase, these uncertainties strongly influence the oil recovery. The acquisition of additional information and flexibility are key points to risk mitigation. The value of information quantifies the benefits of new information and flexibility can be added to the project considering various possible scenarios; it offers the opportunity to improve projects by changing decisions in the future. Decision makers can develop giant fields immediately without information and assume the risks or acquire more information and delay the project, adding flexibility to it, such as flexible facilities, intelligent wells and development by modules, which is the focus of this work. A methodology to quantify the risk of a modular implantation of large petroleum fields was proposed. Evaluations of the expected monetary value (EMV), with and without information on possible scenarios, are based on the value of information (Vol). Geological uncertainties are integrated to different production strategies through the geological representative models (GRM). The net present value (NPV) method, supported by the multiattribute utility theory (MAUT), evaluates the return and risk of each possible scenario. The proposed methodology was applied in a case study based on a Brazilian offshore field in order to mitigate the risk associated to its development. (C) 2010 Elsevier B.V. All rights reserved.
dc.description75
dc.description41671
dc.description105
dc.description113
dc.descriptionPETROBRAS
dc.descriptionResearch Network SIGER (UNISIM/CEPETRO/UNICAMP - PETROBRAS)
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationJournal Of Petroleum Science And Engineering
dc.relationJ. Pet. Sci. Eng.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectrisk mitigation
dc.subjectdecision process
dc.subjectuncertainty analysis
dc.subjectvalue of information
dc.subjectflexibility
dc.subjectModels
dc.titleRisk mitigation in petroleum field development by modular implantation
dc.typeArtículos de revistas


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